1.導(dǎo)入庫(kù)
import numpy
as np
import pandas
as pd
2.查看數(shù)據(jù)
data
= pd
. read_csv
( 'titanic_data.csv' )
data
PassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarked 01 0 3 Braund, Mr. Owen Harris male 22.0 1 0 A/5 21171 7.2500 NaN S 12 1 1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 0 PC 17599 71.2833 C85 C 23 1 3 Heikkinen, Miss. Laina female 26.0 0 0 STON/O2. 3101282 7.9250 NaN S 34 1 1 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 0 113803 53.1000 C123 S 45 0 3 Allen, Mr. William Henry male 35.0 0 0 373450 8.0500 NaN S 56 0 3 Moran, Mr. James male NaN 0 0 330877 8.4583 NaN Q 67 0 1 McCarthy, Mr. Timothy J male 54.0 0 0 17463 51.8625 E46 S 78 0 3 Palsson, Master. Gosta Leonard male 2.0 3 1 349909 21.0750 NaN S 89 1 3 Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg) female 27.0 0 2 347742 11.1333 NaN S 910 1 2 Nasser, Mrs. Nicholas (Adele Achem) female 14.0 1 0 237736 30.0708 NaN C 1011 1 3 Sandstrom, Miss. Marguerite Rut female 4.0 1 1 PP 9549 16.7000 G6 S 1112 1 1 Bonnell, Miss. Elizabeth female 58.0 0 0 113783 26.5500 C103 S 1213 0 3 Saundercock, Mr. William Henry male 20.0 0 0 A/5. 2151 8.0500 NaN S 1314 0 3 Andersson, Mr. Anders Johan male 39.0 1 5 347082 31.2750 NaN S 1415 0 3 Vestrom, Miss. Hulda Amanda Adolfina female 14.0 0 0 350406 7.8542 NaN S 1516 1 2 Hewlett, Mrs. (Mary D Kingcome) female 55.0 0 0 248706 16.0000 NaN S 1617 0 3 Rice, Master. Eugene male 2.0 4 1 382652 29.1250 NaN Q 1718 1 2 Williams, Mr. Charles Eugene male NaN 0 0 244373 13.0000 NaN S 1819 0 3 Vander Planke, Mrs. Julius (Emelia Maria Vande... female 31.0 1 0 345763 18.0000 NaN S 1920 1 3 Masselmani, Mrs. Fatima female NaN 0 0 2649 7.2250 NaN C 2021 0 2 Fynney, Mr. Joseph J male 35.0 0 0 239865 26.0000 NaN S 2122 1 2 Beesley, Mr. Lawrence male 34.0 0 0 248698 13.0000 D56 S 2223 1 3 McGowan, Miss. Anna "Annie" female 15.0 0 0 330923 8.0292 NaN Q 2324 1 1 Sloper, Mr. William Thompson male 28.0 0 0 113788 35.5000 A6 S 2425 0 3 Palsson, Miss. Torborg Danira female 8.0 3 1 349909 21.0750 NaN S 2526 1 3 Asplund, Mrs. Carl Oscar (Selma Augusta Emilia... female 38.0 1 5 347077 31.3875 NaN S 2627 0 3 Emir, Mr. Farred Chehab male NaN 0 0 2631 7.2250 NaN C 2728 0 1 Fortune, Mr. Charles Alexander male 19.0 3 2 19950 263.0000 C23 C25 C27 S 2829 1 3 O'Dwyer, Miss. Ellen "Nellie" female NaN 0 0 330959 7.8792 NaN Q 2930 0 3 Todoroff, Mr. Lalio male NaN 0 0 349216 7.8958 NaN S ...... ... ... ... ... ... ... ... ... ... ... ... 861862 0 2 Giles, Mr. Frederick Edward male 21.0 1 0 28134 11.5000 NaN S 862863 1 1 Swift, Mrs. Frederick Joel (Margaret Welles Ba... female 48.0 0 0 17466 25.9292 D17 S 863864 0 3 Sage, Miss. Dorothy Edith "Dolly" female NaN 8 2 CA. 2343 69.5500 NaN S 864865 0 2 Gill, Mr. John William male 24.0 0 0 233866 13.0000 NaN S 865866 1 2 Bystrom, Mrs. (Karolina) female 42.0 0 0 236852 13.0000 NaN S 866867 1 2 Duran y More, Miss. Asuncion female 27.0 1 0 SC/PARIS 2149 13.8583 NaN C 867868 0 1 Roebling, Mr. Washington Augustus II male 31.0 0 0 PC 17590 50.4958 A24 S 868869 0 3 van Melkebeke, Mr. Philemon male NaN 0 0 345777 9.5000 NaN S 869870 1 3 Johnson, Master. Harold Theodor male 4.0 1 1 347742 11.1333 NaN S 870871 0 3 Balkic, Mr. Cerin male 26.0 0 0 349248 7.8958 NaN S 871872 1 1 Beckwith, Mrs. Richard Leonard (Sallie Monypeny) female 47.0 1 1 11751 52.5542 D35 S 872873 0 1 Carlsson, Mr. Frans Olof male 33.0 0 0 695 5.0000 B51 B53 B55 S 873874 0 3 Vander Cruyssen, Mr. Victor male 47.0 0 0 345765 9.0000 NaN S 874875 1 2 Abelson, Mrs. Samuel (Hannah Wizosky) female 28.0 1 0 P/PP 3381 24.0000 NaN C 875876 1 3 Najib, Miss. Adele Kiamie "Jane" female 15.0 0 0 2667 7.2250 NaN C 876877 0 3 Gustafsson, Mr. Alfred Ossian male 20.0 0 0 7534 9.8458 NaN S 877878 0 3 Petroff, Mr. Nedelio male 19.0 0 0 349212 7.8958 NaN S 878879 0 3 Laleff, Mr. Kristo male NaN 0 0 349217 7.8958 NaN S 879880 1 1 Potter, Mrs. Thomas Jr (Lily Alexenia Wilson) female 56.0 0 1 11767 83.1583 C50 C 880881 1 2 Shelley, Mrs. William (Imanita Parrish Hall) female 25.0 0 1 230433 26.0000 NaN S 881882 0 3 Markun, Mr. Johann male 33.0 0 0 349257 7.8958 NaN S 882883 0 3 Dahlberg, Miss. Gerda Ulrika female 22.0 0 0 7552 10.5167 NaN S 883884 0 2 Banfield, Mr. Frederick James male 28.0 0 0 C.A./SOTON 34068 10.5000 NaN S 884885 0 3 Sutehall, Mr. Henry Jr male 25.0 0 0 SOTON/OQ 392076 7.0500 NaN S 885886 0 3 Rice, Mrs. William (Margaret Norton) female 39.0 0 5 382652 29.1250 NaN Q 886887 0 2 Montvila, Rev. Juozas male 27.0 0 0 211536 13.0000 NaN S 887888 1 1 Graham, Miss. Margaret Edith female 19.0 0 0 112053 30.0000 B42 S 888889 0 3 Johnston, Miss. Catherine Helen "Carrie" female NaN 1 2 W./C. 6607 23.4500 NaN S 889890 1 1 Behr, Mr. Karl Howell male 26.0 0 0 111369 30.0000 C148 C 890891 0 3 Dooley, Mr. Patrick male 32.0 0 0 370376 7.7500 NaN Q
891 rows × 12 columns
data
. shape
(891, 12)
data
. info
( )
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 891 entries, 0 to 890
Data columns (total 12 columns):
PassengerId 891 non-null int64
Survived 891 non-null int64
Pclass 891 non-null int64
Name 891 non-null object
Sex 891 non-null object
Age 714 non-null float64
SibSp 891 non-null int64
Parch 891 non-null int64
Ticket 891 non-null object
Fare 891 non-null float64
Cabin 204 non-null object
Embarked 889 non-null object
dtypes: float64(2), int64(5), object(5)
memory usage: 83.6+ KB
data
. isnull
( ) . sum ( ) . sort_values
( ascending
= False )
Cabin 687
Age 177
Embarked 2
Fare 0
Ticket 0
Parch 0
SibSp 0
Sex 0
Name 0
Pclass 0
Survived 0
PassengerId 0
dtype: int64
data
. dtypes
PassengerId int64
Survived int64
Pclass int64
Name object
Sex object
Age float64
SibSp int64
Parch int64
Ticket object
Fare float64
Cabin object
Embarked object
dtype: object
data
[ 'Sex' ] . dtype
dtype('O')
data
. isnull
( )
PassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarked 0False False False False False False False False False False True False 1False False False False False False False False False False False False 2False False False False False False False False False False True False 3False False False False False False False False False False False False 4False False False False False False False False False False True False 5False False False False False True False False False False True False 6False False False False False False False False False False False False 7False False False False False False False False False False True False 8False False False False False False False False False False True False 9False False False False False False False False False False True False 10False False False False False False False False False False False False 11False False False False False False False False False False False False 12False False False False False False False False False False True False 13False False False False False False False False False False True False 14False False False False False False False False False False True False 15False False False False False False False False False False True False 16False False False False False False False False False False True False 17False False False False False True False False False False True False 18False False False False False False False False False False True False 19False False False False False True False False False False True False 20False False False False False False False False False False True False 21False False False False False False False False False False False False 22False False False False False False False False False False True False 23False False False False False False False False False False False False 24False False False False False False False False False False True False 25False False False False False False False False False False True False 26False False False False False True False False False False True False 27False False False False False False False False False False False False 28False False False False False True False False False False True False 29False False False False False True False False False False True False ...... ... ... ... ... ... ... ... ... ... ... ... 861False False False False False False False False False False True False 862False False False False False False False False False False False False 863False False False False False True False False False False True False 864False False False False False False False False False False True False 865False False False False False False False False False False True False 866False False False False False False False False False False True False 867False False False False False False False False False False False False 868False False False False False True False False False False True False 869False False False False False False False False False False True False 870False False False False False False False False False False True False 871False False False False False False False False False False False False 872False False False False False False False False False False False False 873False False False False False False False False False False True False 874False False False False False False False False False False True False 875False False False False False False False False False False True False 876False False False False False False False False False False True False 877False False False False False False False False False False True False 878False False False False False True False False False False True False 879False False False False False False False False False False False False 880False False False False False False False False False False True False 881False False False False False False False False False False True False 882False False False False False False False False False False True False 883False False False False False False False False False False True False 884False False False False False False False False False False True False 885False False False False False False False False False False True False 886False False False False False False False False False False True False 887False False False False False False False False False False False False 888False False False False False True False False False False True False 889False False False False False False False False False False False False 890False False False False False False False False False False True False
891 rows × 12 columns
data
[ 'Age' ] . isnull
( )
0 False
1 False
2 False
3 False
4 False
5 True
6 False
7 False
8 False
9 False
10 False
11 False
12 False
13 False
14 False
15 False
16 False
17 True
18 False
19 True
20 False
21 False
22 False
23 False
24 False
25 False
26 True
27 False
28 True
29 True...
861 False
862 False
863 True
864 False
865 False
866 False
867 False
868 True
869 False
870 False
871 False
872 False
873 False
874 False
875 False
876 False
877 False
878 True
879 False
880 False
881 False
882 False
883 False
884 False
885 False
886 False
887 False
888 True
889 False
890 False
Name: Age, Length: 891, dtype: bool
data
[ 'Parch' ] . unique
( )
array([0, 1, 2, 5, 3, 4, 6], dtype=int64)
data
[ 'Parch' ] . value_counts
( dropna
= False )
0 678
1 118
2 80
5 5
3 5
4 4
6 1
Name: Parch, dtype: int64
data
. values
array([[1, 0, 3, ..., 7.25, nan, 'S'],[2, 1, 1, ..., 71.2833, 'C85', 'C'],[3, 1, 3, ..., 7.925, nan, 'S'],...,[889, 0, 3, ..., 23.45, nan, 'S'],[890, 1, 1, ..., 30.0, 'C148', 'C'],[891, 0, 3, ..., 7.75, nan, 'Q']], dtype=object)
data
. head
( 4 )
PassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarked 01 0 3 Braund, Mr. Owen Harris male 22.0 1 0 A/5 21171 7.2500 NaN S 12 1 1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 0 PC 17599 71.2833 C85 C 23 1 3 Heikkinen, Miss. Laina female 26.0 0 0 STON/O2. 3101282 7.9250 NaN S 34 1 1 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 0 113803 53.1000 C123 S
data
. tail
( 4 )
PassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarked 887888 1 1 Graham, Miss. Margaret Edith female 19.0 0 0 112053 30.00 B42 S 888889 0 3 Johnston, Miss. Catherine Helen "Carrie" female NaN 1 2 W./C. 6607 23.45 NaN S 889890 1 1 Behr, Mr. Karl Howell male 26.0 0 0 111369 30.00 C148 C 890891 0 3 Dooley, Mr. Patrick male 32.0 0 0 370376 7.75 NaN Q
3.清洗數(shù)據(jù)
data
[ 'Age' ] . fillna
( value
= 0 )
0 22.0
1 38.0
2 26.0
3 35.0
4 35.0
5 0.0
6 54.0
7 2.0
8 27.0
9 14.0
10 4.0
11 58.0
12 20.0
13 39.0
14 14.0
15 55.0
16 2.0
17 0.0
18 31.0
19 0.0
20 35.0
21 34.0
22 15.0
23 28.0
24 8.0
25 38.0
26 0.0
27 19.0
28 0.0
29 0.0...
861 21.0
862 48.0
863 0.0
864 24.0
865 42.0
866 27.0
867 31.0
868 0.0
869 4.0
870 26.0
871 47.0
872 33.0
873 47.0
874 28.0
875 15.0
876 20.0
877 19.0
878 0.0
879 56.0
880 25.0
881 33.0
882 22.0
883 28.0
884 25.0
885 39.0
886 27.0
887 19.0
888 0.0
889 26.0
890 32.0
Name: Age, Length: 891, dtype: float64
data
[ 'Age' ] . fillna
( method
= 'ffill' )
0 22.0
1 38.0
2 26.0
3 35.0
4 35.0
5 35.0
6 54.0
7 2.0
8 27.0
9 14.0
10 4.0
11 58.0
12 20.0
13 39.0
14 14.0
15 55.0
16 2.0
17 2.0
18 31.0
19 31.0
20 35.0
21 34.0
22 15.0
23 28.0
24 8.0
25 38.0
26 38.0
27 19.0
28 19.0
29 19.0...
861 21.0
862 48.0
863 48.0
864 24.0
865 42.0
866 27.0
867 31.0
868 31.0
869 4.0
870 26.0
871 47.0
872 33.0
873 47.0
874 28.0
875 15.0
876 20.0
877 19.0
878 19.0
879 56.0
880 25.0
881 33.0
882 22.0
883 28.0
884 25.0
885 39.0
886 27.0
887 19.0
888 19.0
889 26.0
890 32.0
Name: Age, Length: 891, dtype: float64
data
[ 'Age' ] . fillna
( method
= 'bfill' )
0 22.0
1 38.0
2 26.0
3 35.0
4 35.0
5 54.0
6 54.0
7 2.0
8 27.0
9 14.0
10 4.0
11 58.0
12 20.0
13 39.0
14 14.0
15 55.0
16 2.0
17 31.0
18 31.0
19 35.0
20 35.0
21 34.0
22 15.0
23 28.0
24 8.0
25 38.0
26 19.0
27 19.0
28 40.0
29 40.0...
861 21.0
862 48.0
863 24.0
864 24.0
865 42.0
866 27.0
867 31.0
868 4.0
869 4.0
870 26.0
871 47.0
872 33.0
873 47.0
874 28.0
875 15.0
876 20.0
877 19.0
878 56.0
879 56.0
880 25.0
881 33.0
882 22.0
883 28.0
884 25.0
885 39.0
886 27.0
887 19.0
888 26.0
889 26.0
890 32.0
Name: Age, Length: 891, dtype: float64
data
[ 'Age' ]
0 22.0
1 38.0
2 26.0
3 35.0
4 35.0
5 NaN
6 54.0
7 2.0
8 27.0
9 14.0
10 4.0
11 58.0
12 20.0
13 39.0
14 14.0
15 55.0
16 2.0
17 NaN
18 31.0
19 NaN
20 35.0
21 34.0
22 15.0
23 28.0
24 8.0
25 38.0
26 NaN
27 19.0
28 NaN
29 NaN...
861 21.0
862 48.0
863 NaN
864 24.0
865 42.0
866 27.0
867 31.0
868 NaN
869 4.0
870 26.0
871 47.0
872 33.0
873 47.0
874 28.0
875 15.0
876 20.0
877 19.0
878 NaN
879 56.0
880 25.0
881 33.0
882 22.0
883 28.0
884 25.0
885 39.0
886 27.0
887 19.0
888 NaN
889 26.0
890 32.0
Name: Age, Length: 891, dtype: float64
data
[ 'Age' ] . fillna
( data
[ 'Age' ] . mean
( ) , inplace
= True )
data
[ 'Age' ]
0 22.000000
1 38.000000
2 26.000000
3 35.000000
4 35.000000
5 29.699118
6 54.000000
7 2.000000
8 27.000000
9 14.000000
10 4.000000
11 58.000000
12 20.000000
13 39.000000
14 14.000000
15 55.000000
16 2.000000
17 29.699118
18 31.000000
19 29.699118
20 35.000000
21 34.000000
22 15.000000
23 28.000000
24 8.000000
25 38.000000
26 29.699118
27 19.000000
28 29.699118
29 29.699118...
861 21.000000
862 48.000000
863 29.699118
864 24.000000
865 42.000000
866 27.000000
867 31.000000
868 29.699118
869 4.000000
870 26.000000
871 47.000000
872 33.000000
873 47.000000
874 28.000000
875 15.000000
876 20.000000
877 19.000000
878 29.699118
879 56.000000
880 25.000000
881 33.000000
882 22.000000
883 28.000000
884 25.000000
885 39.000000
886 27.000000
887 19.000000
888 29.699118
889 26.000000
890 32.000000
Name: Age, Length: 891, dtype: float64
' a bb' . strip
( )
'a bb'
data
[ 'Name' ] = data
[ 'Name' ] . map ( str . strip
)
data
[ 'Name' ]
0 Braund, Mr. Owen Harris
1 Cumings, Mrs. John Bradley (Florence Briggs Th...
2 Heikkinen, Miss. Laina
3 Futrelle, Mrs. Jacques Heath (Lily May Peel)
4 Allen, Mr. William Henry
5 Moran, Mr. James
6 McCarthy, Mr. Timothy J
7 Palsson, Master. Gosta Leonard
8 Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)
9 Nasser, Mrs. Nicholas (Adele Achem)
10 Sandstrom, Miss. Marguerite Rut
11 Bonnell, Miss. Elizabeth
12 Saundercock, Mr. William Henry
13 Andersson, Mr. Anders Johan
14 Vestrom, Miss. Hulda Amanda Adolfina
15 Hewlett, Mrs. (Mary D Kingcome)
16 Rice, Master. Eugene
17 Williams, Mr. Charles Eugene
18 Vander Planke, Mrs. Julius (Emelia Maria Vande...
19 Masselmani, Mrs. Fatima
20 Fynney, Mr. Joseph J
21 Beesley, Mr. Lawrence
22 McGowan, Miss. Anna "Annie"
23 Sloper, Mr. William Thompson
24 Palsson, Miss. Torborg Danira
25 Asplund, Mrs. Carl Oscar (Selma Augusta Emilia...
26 Emir, Mr. Farred Chehab
27 Fortune, Mr. Charles Alexander
28 O'Dwyer, Miss. Ellen "Nellie"
29 Todoroff, Mr. Lalio...
861 Giles, Mr. Frederick Edward
862 Swift, Mrs. Frederick Joel (Margaret Welles Ba...
863 Sage, Miss. Dorothy Edith "Dolly"
864 Gill, Mr. John William
865 Bystrom, Mrs. (Karolina)
866 Duran y More, Miss. Asuncion
867 Roebling, Mr. Washington Augustus II
868 van Melkebeke, Mr. Philemon
869 Johnson, Master. Harold Theodor
870 Balkic, Mr. Cerin
871 Beckwith, Mrs. Richard Leonard (Sallie Monypeny)
872 Carlsson, Mr. Frans Olof
873 Vander Cruyssen, Mr. Victor
874 Abelson, Mrs. Samuel (Hannah Wizosky)
875 Najib, Miss. Adele Kiamie "Jane"
876 Gustafsson, Mr. Alfred Ossian
877 Petroff, Mr. Nedelio
878 Laleff, Mr. Kristo
879 Potter, Mrs. Thomas Jr (Lily Alexenia Wilson)
880 Shelley, Mrs. William (Imanita Parrish Hall)
881 Markun, Mr. Johann
882 Dahlberg, Miss. Gerda Ulrika
883 Banfield, Mr. Frederick James
884 Sutehall, Mr. Henry Jr
885 Rice, Mrs. William (Margaret Norton)
886 Montvila, Rev. Juozas
887 Graham, Miss. Margaret Edith
888 Johnston, Miss. Catherine Helen "Carrie"
889 Behr, Mr. Karl Howell
890 Dooley, Mr. Patrick
Name: Name, Length: 891, dtype: object
data
[ 'Name' ] = data
[ 'Name' ] . str . lower
( )
data
[ 'Name' ]
0 braund, mr. owen harris
1 cumings, mrs. john bradley (florence briggs th...
2 heikkinen, miss. laina
3 futrelle, mrs. jacques heath (lily may peel)
4 allen, mr. william henry
5 moran, mr. james
6 mccarthy, mr. timothy j
7 palsson, master. gosta leonard
8 johnson, mrs. oscar w (elisabeth vilhelmina berg)
9 nasser, mrs. nicholas (adele achem)
10 sandstrom, miss. marguerite rut
11 bonnell, miss. elizabeth
12 saundercock, mr. william henry
13 andersson, mr. anders johan
14 vestrom, miss. hulda amanda adolfina
15 hewlett, mrs. (mary d kingcome)
16 rice, master. eugene
17 williams, mr. charles eugene
18 vander planke, mrs. julius (emelia maria vande...
19 masselmani, mrs. fatima
20 fynney, mr. joseph j
21 beesley, mr. lawrence
22 mcgowan, miss. anna "annie"
23 sloper, mr. william thompson
24 palsson, miss. torborg danira
25 asplund, mrs. carl oscar (selma augusta emilia...
26 emir, mr. farred chehab
27 fortune, mr. charles alexander
28 o'dwyer, miss. ellen "nellie"
29 todoroff, mr. lalio...
861 giles, mr. frederick edward
862 swift, mrs. frederick joel (margaret welles ba...
863 sage, miss. dorothy edith "dolly"
864 gill, mr. john william
865 bystrom, mrs. (karolina)
866 duran y more, miss. asuncion
867 roebling, mr. washington augustus ii
868 van melkebeke, mr. philemon
869 johnson, master. harold theodor
870 balkic, mr. cerin
871 beckwith, mrs. richard leonard (sallie monypeny)
872 carlsson, mr. frans olof
873 vander cruyssen, mr. victor
874 abelson, mrs. samuel (hannah wizosky)
875 najib, miss. adele kiamie "jane"
876 gustafsson, mr. alfred ossian
877 petroff, mr. nedelio
878 laleff, mr. kristo
879 potter, mrs. thomas jr (lily alexenia wilson)
880 shelley, mrs. william (imanita parrish hall)
881 markun, mr. johann
882 dahlberg, miss. gerda ulrika
883 banfield, mr. frederick james
884 sutehall, mr. henry jr
885 rice, mrs. william (margaret norton)
886 montvila, rev. juozas
887 graham, miss. margaret edith
888 johnston, miss. catherine helen "carrie"
889 behr, mr. karl howell
890 dooley, mr. patrick
Name: Name, Length: 891, dtype: object
data
[ 'Survived' ] . dtype
dtype('int64')
data
[ 'Survived' ] . astype
( 'str' )
0 0
1 1
2 1
3 1
4 0
5 0
6 0
7 0
8 1
9 1
10 1
11 1
12 0
13 0
14 0
15 1
16 0
17 1
18 0
19 1
20 0
21 1
22 1
23 1
24 0
25 1
26 0
27 0
28 1
29 0..
861 0
862 1
863 0
864 0
865 1
866 1
867 0
868 0
869 1
870 0
871 1
872 0
873 0
874 1
875 1
876 0
877 0
878 0
879 1
880 1
881 0
882 0
883 0
884 0
885 0
886 0
887 1
888 0
889 1
890 0
Name: Survived, Length: 891, dtype: object
data
. rename
( columns
= { 'Sex' : '性別 ' , 'Name' : '姓名' } ) . head
( )
PassengerIdSurvivedPclass姓名性別AgeSibSpParchTicketFareCabinEmbarked 01 0 3 braund, mr. owen harris male 22.0 1 0 A/5 21171 7.2500 NaN S 12 1 1 cumings, mrs. john bradley (florence briggs th... female 38.0 1 0 PC 17599 71.2833 C85 C 23 1 3 heikkinen, miss. laina female 26.0 0 0 STON/O2. 3101282 7.9250 NaN S 34 1 1 futrelle, mrs. jacques heath (lily may peel) female 35.0 1 0 113803 53.1000 C123 S 45 0 3 allen, mr. william henry male 35.0 0 0 373450 8.0500 NaN S
data
. columns
Index(['PassengerId', 'Survived', 'Pclass', 'Name', 'Sex', 'Age', 'SibSp','Parch', 'Ticket', 'Fare', 'Cabin', 'Embarked'],dtype='object')
data
[ 'Sex' ] . drop_duplicates
( )
0 male
1 female
Name: Sex, dtype: object
data
[ 'Sex' ] . drop_duplicates
( keep
= 'last' )
888 female
890 male
Name: Sex, dtype: object
data
[ 'Survived' ] . replace
( 0 , 'died' )
0 died
1 1
2 1
3 1
4 died
5 died
6 died
7 died
8 1
9 1
10 1
11 1
12 died
13 died
14 died
15 1
16 died
17 1
18 died
19 1
20 died
21 1
22 1
23 1
24 died
25 1
26 died
27 died
28 1
29 died...
861 died
862 1
863 died
864 died
865 1
866 1
867 died
868 died
869 1
870 died
871 1
872 died
873 died
874 1
875 1
876 died
877 died
878 died
879 1
880 1
881 died
882 died
883 died
884 died
885 died
886 died
887 1
888 died
889 1
890 died
Name: Survived, Length: 891, dtype: object
4.數(shù)據(jù)合并
data1
= pd
. DataFrame
( { 'PassengerId' : [ 9 , 19 , 29 , 39999 ] , 'Sur' : [ 0 , 1 , 0 , 1 ] , 'Name' : [ 'xiaoming' , 'xiaohong' , 'xiaozhang' , 'xiaozhao' ] , 'time' : [ 10.0 , 22.0 , 30.0 , 40.0 ] } )
data1
PassengerIdSurNametime 09 0 xiaoming 10.0 119 1 xiaohong 22.0 229 0 xiaozhang 30.0 339999 1 xiaozhao 40.0
data_inner
= pd
. merge
( data
, data1
, on
= 'PassengerId' , how
= 'inner' )
data_inner
PassengerIdSurvivedPclassName_xSexAgeSibSpParchTicketFareCabinEmbarkedSurName_ytime 09 1 3 johnson, mrs. oscar w (elisabeth vilhelmina berg) female 27.000000 0 2 347742 11.1333 NaN S 0 xiaoming 10.0 119 0 3 vander planke, mrs. julius (emelia maria vande... female 31.000000 1 0 345763 18.0000 NaN S 1 xiaohong 22.0 229 1 3 o'dwyer, miss. ellen "nellie" female 29.699118 0 0 330959 7.8792 NaN Q 0 xiaozhang 30.0
data_left
= pd
. merge
( data
, data1
, on
= 'PassengerId' , how
= 'left' )
data_left
. head
( 30 )
PassengerIdSurvivedPclassName_xSexAgeSibSpParchTicketFareCabinEmbarkedSurName_ytime 01 0 3 braund, mr. owen harris male 22.000000 1 0 A/5 21171 7.2500 NaN S NaN NaN NaN 12 1 1 cumings, mrs. john bradley (florence briggs th... female 38.000000 1 0 PC 17599 71.2833 C85 C NaN NaN NaN 23 1 3 heikkinen, miss. laina female 26.000000 0 0 STON/O2. 3101282 7.9250 NaN S NaN NaN NaN 34 1 1 futrelle, mrs. jacques heath (lily may peel) female 35.000000 1 0 113803 53.1000 C123 S NaN NaN NaN 45 0 3 allen, mr. william henry male 35.000000 0 0 373450 8.0500 NaN S NaN NaN NaN 56 0 3 moran, mr. james male 29.699118 0 0 330877 8.4583 NaN Q NaN NaN NaN 67 0 1 mccarthy, mr. timothy j male 54.000000 0 0 17463 51.8625 E46 S NaN NaN NaN 78 0 3 palsson, master. gosta leonard male 2.000000 3 1 349909 21.0750 NaN S NaN NaN NaN 89 1 3 johnson, mrs. oscar w (elisabeth vilhelmina berg) female 27.000000 0 2 347742 11.1333 NaN S 0.0 xiaoming 10.0 910 1 2 nasser, mrs. nicholas (adele achem) female 14.000000 1 0 237736 30.0708 NaN C NaN NaN NaN 1011 1 3 sandstrom, miss. marguerite rut female 4.000000 1 1 PP 9549 16.7000 G6 S NaN NaN NaN 1112 1 1 bonnell, miss. elizabeth female 58.000000 0 0 113783 26.5500 C103 S NaN NaN NaN 1213 0 3 saundercock, mr. william henry male 20.000000 0 0 A/5. 2151 8.0500 NaN S NaN NaN NaN 1314 0 3 andersson, mr. anders johan male 39.000000 1 5 347082 31.2750 NaN S NaN NaN NaN 1415 0 3 vestrom, miss. hulda amanda adolfina female 14.000000 0 0 350406 7.8542 NaN S NaN NaN NaN 1516 1 2 hewlett, mrs. (mary d kingcome) female 55.000000 0 0 248706 16.0000 NaN S NaN NaN NaN 1617 0 3 rice, master. eugene male 2.000000 4 1 382652 29.1250 NaN Q NaN NaN NaN 1718 1 2 williams, mr. charles eugene male 29.699118 0 0 244373 13.0000 NaN S NaN NaN NaN 1819 0 3 vander planke, mrs. julius (emelia maria vande... female 31.000000 1 0 345763 18.0000 NaN S 1.0 xiaohong 22.0 1920 1 3 masselmani, mrs. fatima female 29.699118 0 0 2649 7.2250 NaN C NaN NaN NaN 2021 0 2 fynney, mr. joseph j male 35.000000 0 0 239865 26.0000 NaN S NaN NaN NaN 2122 1 2 beesley, mr. lawrence male 34.000000 0 0 248698 13.0000 D56 S NaN NaN NaN 2223 1 3 mcgowan, miss. anna "annie" female 15.000000 0 0 330923 8.0292 NaN Q NaN NaN NaN 2324 1 1 sloper, mr. william thompson male 28.000000 0 0 113788 35.5000 A6 S NaN NaN NaN 2425 0 3 palsson, miss. torborg danira female 8.000000 3 1 349909 21.0750 NaN S NaN NaN NaN 2526 1 3 asplund, mrs. carl oscar (selma augusta emilia... female 38.000000 1 5 347077 31.3875 NaN S NaN NaN NaN 2627 0 3 emir, mr. farred chehab male 29.699118 0 0 2631 7.2250 NaN C NaN NaN NaN 2728 0 1 fortune, mr. charles alexander male 19.000000 3 2 19950 263.0000 C23 C25 C27 S NaN NaN NaN 2829 1 3 o'dwyer, miss. ellen "nellie" female 29.699118 0 0 330959 7.8792 NaN Q 0.0 xiaozhang 30.0 2930 0 3 todoroff, mr. lalio male 29.699118 0 0 349216 7.8958 NaN S NaN NaN NaN
data_right
= pd
. merge
( data
, data1
, on
= 'PassengerId' , how
= 'right' )
data_right
PassengerIdSurvivedPclassName_xSexAgeSibSpParchTicketFareCabinEmbarkedSurName_ytime 09 1.0 3.0 johnson, mrs. oscar w (elisabeth vilhelmina berg) female 27.000000 0.0 2.0 347742 11.1333 NaN S 0 xiaoming 10.0 119 0.0 3.0 vander planke, mrs. julius (emelia maria vande... female 31.000000 1.0 0.0 345763 18.0000 NaN S 1 xiaohong 22.0 229 1.0 3.0 o'dwyer, miss. ellen "nellie" female 29.699118 0.0 0.0 330959 7.8792 NaN Q 0 xiaozhang 30.0 339999 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 1 xiaozhao 40.0
data_outer
= pd
. merge
( data
, data1
, on
= 'PassengerId' , how
= 'outer' )
data_outer
. head
( 20 )
PassengerIdSurvivedPclassName_xSexAgeSibSpParchTicketFareCabinEmbarkedSurName_ytime 01 0.0 3.0 braund, mr. owen harris male 22.000000 1.0 0.0 A/5 21171 7.2500 NaN S NaN NaN NaN 12 1.0 1.0 cumings, mrs. john bradley (florence briggs th... female 38.000000 1.0 0.0 PC 17599 71.2833 C85 C NaN NaN NaN 23 1.0 3.0 heikkinen, miss. laina female 26.000000 0.0 0.0 STON/O2. 3101282 7.9250 NaN S NaN NaN NaN 34 1.0 1.0 futrelle, mrs. jacques heath (lily may peel) female 35.000000 1.0 0.0 113803 53.1000 C123 S NaN NaN NaN 45 0.0 3.0 allen, mr. william henry male 35.000000 0.0 0.0 373450 8.0500 NaN S NaN NaN NaN 56 0.0 3.0 moran, mr. james male 29.699118 0.0 0.0 330877 8.4583 NaN Q NaN NaN NaN 67 0.0 1.0 mccarthy, mr. timothy j male 54.000000 0.0 0.0 17463 51.8625 E46 S NaN NaN NaN 78 0.0 3.0 palsson, master. gosta leonard male 2.000000 3.0 1.0 349909 21.0750 NaN S NaN NaN NaN 89 1.0 3.0 johnson, mrs. oscar w (elisabeth vilhelmina berg) female 27.000000 0.0 2.0 347742 11.1333 NaN S 0.0 xiaoming 10.0 910 1.0 2.0 nasser, mrs. nicholas (adele achem) female 14.000000 1.0 0.0 237736 30.0708 NaN C NaN NaN NaN 1011 1.0 3.0 sandstrom, miss. marguerite rut female 4.000000 1.0 1.0 PP 9549 16.7000 G6 S NaN NaN NaN 1112 1.0 1.0 bonnell, miss. elizabeth female 58.000000 0.0 0.0 113783 26.5500 C103 S NaN NaN NaN 1213 0.0 3.0 saundercock, mr. william henry male 20.000000 0.0 0.0 A/5. 2151 8.0500 NaN S NaN NaN NaN 1314 0.0 3.0 andersson, mr. anders johan male 39.000000 1.0 5.0 347082 31.2750 NaN S NaN NaN NaN 1415 0.0 3.0 vestrom, miss. hulda amanda adolfina female 14.000000 0.0 0.0 350406 7.8542 NaN S NaN NaN NaN 1516 1.0 2.0 hewlett, mrs. (mary d kingcome) female 55.000000 0.0 0.0 248706 16.0000 NaN S NaN NaN NaN 1617 0.0 3.0 rice, master. eugene male 2.000000 4.0 1.0 382652 29.1250 NaN Q NaN NaN NaN 1718 1.0 2.0 williams, mr. charles eugene male 29.699118 0.0 0.0 244373 13.0000 NaN S NaN NaN NaN 1819 0.0 3.0 vander planke, mrs. julius (emelia maria vande... female 31.000000 1.0 0.0 345763 18.0000 NaN S 1.0 xiaohong 22.0 1920 1.0 3.0 masselmani, mrs. fatima female 29.699118 0.0 0.0 2649 7.2250 NaN C NaN NaN NaN
data_outer
. tail
( 20 )
PassengerIdSurvivedPclassName_xSexAgeSibSpParchTicketFareCabinEmbarkedSurName_ytime 872873 0.0 1.0 carlsson, mr. frans olof male 33.000000 0.0 0.0 695 5.0000 B51 B53 B55 S NaN NaN NaN 873874 0.0 3.0 vander cruyssen, mr. victor male 47.000000 0.0 0.0 345765 9.0000 NaN S NaN NaN NaN 874875 1.0 2.0 abelson, mrs. samuel (hannah wizosky) female 28.000000 1.0 0.0 P/PP 3381 24.0000 NaN C NaN NaN NaN 875876 1.0 3.0 najib, miss. adele kiamie "jane" female 15.000000 0.0 0.0 2667 7.2250 NaN C NaN NaN NaN 876877 0.0 3.0 gustafsson, mr. alfred ossian male 20.000000 0.0 0.0 7534 9.8458 NaN S NaN NaN NaN 877878 0.0 3.0 petroff, mr. nedelio male 19.000000 0.0 0.0 349212 7.8958 NaN S NaN NaN NaN 878879 0.0 3.0 laleff, mr. kristo male 29.699118 0.0 0.0 349217 7.8958 NaN S NaN NaN NaN 879880 1.0 1.0 potter, mrs. thomas jr (lily alexenia wilson) female 56.000000 0.0 1.0 11767 83.1583 C50 C NaN NaN NaN 880881 1.0 2.0 shelley, mrs. william (imanita parrish hall) female 25.000000 0.0 1.0 230433 26.0000 NaN S NaN NaN NaN 881882 0.0 3.0 markun, mr. johann male 33.000000 0.0 0.0 349257 7.8958 NaN S NaN NaN NaN 882883 0.0 3.0 dahlberg, miss. gerda ulrika female 22.000000 0.0 0.0 7552 10.5167 NaN S NaN NaN NaN 883884 0.0 2.0 banfield, mr. frederick james male 28.000000 0.0 0.0 C.A./SOTON 34068 10.5000 NaN S NaN NaN NaN 884885 0.0 3.0 sutehall, mr. henry jr male 25.000000 0.0 0.0 SOTON/OQ 392076 7.0500 NaN S NaN NaN NaN 885886 0.0 3.0 rice, mrs. william (margaret norton) female 39.000000 0.0 5.0 382652 29.1250 NaN Q NaN NaN NaN 886887 0.0 2.0 montvila, rev. juozas male 27.000000 0.0 0.0 211536 13.0000 NaN S NaN NaN NaN 887888 1.0 1.0 graham, miss. margaret edith female 19.000000 0.0 0.0 112053 30.0000 B42 S NaN NaN NaN 888889 0.0 3.0 johnston, miss. catherine helen "carrie" female 29.699118 1.0 2.0 W./C. 6607 23.4500 NaN S NaN NaN NaN 889890 1.0 1.0 behr, mr. karl howell male 26.000000 0.0 0.0 111369 30.0000 C148 C NaN NaN NaN 890891 0.0 3.0 dooley, mr. patrick male 32.000000 0.0 0.0 370376 7.7500 NaN Q NaN NaN NaN 89139999 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 1.0 xiaozhao 40.0
data2
= pd
. DataFrame
( { 'id' : [ 1 , 2 , 3 ] , 'Sex' : [ 'famle' , 'male' , 'male' ] } )
result
= data1
. append
( data2
)
result
NamePassengerIdSexSuridtime 0xiaoming 9.0 NaN 0.0 NaN 10.0 1xiaohong 19.0 NaN 1.0 NaN 22.0 2xiaozhang 29.0 NaN 0.0 NaN 30.0 3xiaozhao 39999.0 NaN 1.0 NaN 40.0 0NaN NaN famle NaN 1.0 NaN 1NaN NaN male NaN 2.0 NaN 2NaN NaN male NaN 3.0 NaN
data_inner
. set_index
( 'time' )
PassengerIdSurvivedPclassName_xSexAgeSibSpParchTicketFareCabinEmbarkedSurName_y time 10.09 1 3 johnson, mrs. oscar w (elisabeth vilhelmina berg) female 27.000000 0 2 347742 11.1333 NaN S 0 xiaoming 22.019 0 3 vander planke, mrs. julius (emelia maria vande... female 31.000000 1 0 345763 18.0000 NaN S 1 xiaohong 30.029 1 3 o'dwyer, miss. ellen "nellie" female 29.699118 0 0 330959 7.8792 NaN Q 0 xiaozhang
data_inner
. reset_index
( drop
= True )
PassengerIdSurvivedPclassName_xSexAgeSibSpParchTicketFareCabinEmbarkedSurName_ytime 09 1 3 johnson, mrs. oscar w (elisabeth vilhelmina berg) female 27.000000 0 2 347742 11.1333 NaN S 0 xiaoming 10.0 119 0 3 vander planke, mrs. julius (emelia maria vande... female 31.000000 1 0 345763 18.0000 NaN S 1 xiaohong 22.0 229 1 3 o'dwyer, miss. ellen "nellie" female 29.699118 0 0 330959 7.8792 NaN Q 0 xiaozhang 30.0
data_inner
. sort_values
( by
= [ 'Fare' ] )
PassengerIdSurvivedPclassName_xSexAgeSibSpParchTicketFareCabinEmbarkedSurName_ytime 229 1 3 o'dwyer, miss. ellen "nellie" female 29.699118 0 0 330959 7.8792 NaN Q 0 xiaozhang 30.0 09 1 3 johnson, mrs. oscar w (elisabeth vilhelmina berg) female 27.000000 0 2 347742 11.1333 NaN S 0 xiaoming 10.0 119 0 3 vander planke, mrs. julius (emelia maria vande... female 31.000000 1 0 345763 18.0000 NaN S 1 xiaohong 22.0
data_inner
. sort_index
( )
PassengerIdSurvivedPclassName_xSexAgeSibSpParchTicketFareCabinEmbarkedSurName_ytime 09 1 3 johnson, mrs. oscar w (elisabeth vilhelmina berg) female 27.000000 0 2 347742 11.1333 NaN S 0 xiaoming 10.0 119 0 3 vander planke, mrs. julius (emelia maria vande... female 31.000000 1 0 345763 18.0000 NaN S 1 xiaohong 22.0 229 1 3 o'dwyer, miss. ellen "nellie" female 29.699118 0 0 330959 7.8792 NaN Q 0 xiaozhang 30.0
data_inner
[ 'level' ] = np
. where
( data_inner
[ 'Fare' ] > 10.0 , 'good' , 'oh' )
data_inner
PassengerIdSurvivedPclassName_xSexAgeSibSpParchTicketFareCabinEmbarkedSurName_ytimelevel 09 1 3 johnson, mrs. oscar w (elisabeth vilhelmina berg) female 27.000000 0 2 347742 11.1333 NaN S 0 xiaoming 10.0 good 119 0 3 vander planke, mrs. julius (emelia maria vande... female 31.000000 1 0 345763 18.0000 NaN S 1 xiaohong 22.0 good 229 1 3 o'dwyer, miss. ellen "nellie" female 29.699118 0 0 330959 7.8792 NaN Q 0 xiaozhang 30.0 oh
data
. loc
[ ( data
[ 'Sex' ] == 'male' ) & ( data
[ 'Age' ] <= 10.0 ) , 'tip' ] = 1
data
. head
( 50 )
PassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarkedtip 01 0 3 braund, mr. owen harris male 22.000000 1 0 A/5 21171 7.2500 NaN S NaN 12 1 1 cumings, mrs. john bradley (florence briggs th... female 38.000000 1 0 PC 17599 71.2833 C85 C NaN 23 1 3 heikkinen, miss. laina female 26.000000 0 0 STON/O2. 3101282 7.9250 NaN S NaN 34 1 1 futrelle, mrs. jacques heath (lily may peel) female 35.000000 1 0 113803 53.1000 C123 S NaN 45 0 3 allen, mr. william henry male 35.000000 0 0 373450 8.0500 NaN S NaN 56 0 3 moran, mr. james male 29.699118 0 0 330877 8.4583 NaN Q NaN 67 0 1 mccarthy, mr. timothy j male 54.000000 0 0 17463 51.8625 E46 S NaN 78 0 3 palsson, master. gosta leonard male 2.000000 3 1 349909 21.0750 NaN S 1.0 89 1 3 johnson, mrs. oscar w (elisabeth vilhelmina berg) female 27.000000 0 2 347742 11.1333 NaN S NaN 910 1 2 nasser, mrs. nicholas (adele achem) female 14.000000 1 0 237736 30.0708 NaN C NaN 1011 1 3 sandstrom, miss. marguerite rut female 4.000000 1 1 PP 9549 16.7000 G6 S NaN 1112 1 1 bonnell, miss. elizabeth female 58.000000 0 0 113783 26.5500 C103 S NaN 1213 0 3 saundercock, mr. william henry male 20.000000 0 0 A/5. 2151 8.0500 NaN S NaN 1314 0 3 andersson, mr. anders johan male 39.000000 1 5 347082 31.2750 NaN S NaN 1415 0 3 vestrom, miss. hulda amanda adolfina female 14.000000 0 0 350406 7.8542 NaN S NaN 1516 1 2 hewlett, mrs. (mary d kingcome) female 55.000000 0 0 248706 16.0000 NaN S NaN 1617 0 3 rice, master. eugene male 2.000000 4 1 382652 29.1250 NaN Q 1.0 1718 1 2 williams, mr. charles eugene male 29.699118 0 0 244373 13.0000 NaN S NaN 1819 0 3 vander planke, mrs. julius (emelia maria vande... female 31.000000 1 0 345763 18.0000 NaN S NaN 1920 1 3 masselmani, mrs. fatima female 29.699118 0 0 2649 7.2250 NaN C NaN 2021 0 2 fynney, mr. joseph j male 35.000000 0 0 239865 26.0000 NaN S NaN 2122 1 2 beesley, mr. lawrence male 34.000000 0 0 248698 13.0000 D56 S NaN 2223 1 3 mcgowan, miss. anna "annie" female 15.000000 0 0 330923 8.0292 NaN Q NaN 2324 1 1 sloper, mr. william thompson male 28.000000 0 0 113788 35.5000 A6 S NaN 2425 0 3 palsson, miss. torborg danira female 8.000000 3 1 349909 21.0750 NaN S NaN 2526 1 3 asplund, mrs. carl oscar (selma augusta emilia... female 38.000000 1 5 347077 31.3875 NaN S NaN 2627 0 3 emir, mr. farred chehab male 29.699118 0 0 2631 7.2250 NaN C NaN 2728 0 1 fortune, mr. charles alexander male 19.000000 3 2 19950 263.0000 C23 C25 C27 S NaN 2829 1 3 o'dwyer, miss. ellen "nellie" female 29.699118 0 0 330959 7.8792 NaN Q NaN 2930 0 3 todoroff, mr. lalio male 29.699118 0 0 349216 7.8958 NaN S NaN 3031 0 1 uruchurtu, don. manuel e male 40.000000 0 0 PC 17601 27.7208 NaN C NaN 3132 1 1 spencer, mrs. william augustus (marie eugenie) female 29.699118 1 0 PC 17569 146.5208 B78 C NaN 3233 1 3 glynn, miss. mary agatha female 29.699118 0 0 335677 7.7500 NaN Q NaN 3334 0 2 wheadon, mr. edward h male 66.000000 0 0 C.A. 24579 10.5000 NaN S NaN 3435 0 1 meyer, mr. edgar joseph male 28.000000 1 0 PC 17604 82.1708 NaN C NaN 3536 0 1 holverson, mr. alexander oskar male 42.000000 1 0 113789 52.0000 NaN S NaN 3637 1 3 mamee, mr. hanna male 29.699118 0 0 2677 7.2292 NaN C NaN 3738 0 3 cann, mr. ernest charles male 21.000000 0 0 A./5. 2152 8.0500 NaN S NaN 3839 0 3 vander planke, miss. augusta maria female 18.000000 2 0 345764 18.0000 NaN S NaN 3940 1 3 nicola-yarred, miss. jamila female 14.000000 1 0 2651 11.2417 NaN C NaN 4041 0 3 ahlin, mrs. johan (johanna persdotter larsson) female 40.000000 1 0 7546 9.4750 NaN S NaN 4142 0 2 turpin, mrs. william john robert (dorothy ann ... female 27.000000 1 0 11668 21.0000 NaN S NaN 4243 0 3 kraeff, mr. theodor male 29.699118 0 0 349253 7.8958 NaN C NaN 4344 1 2 laroche, miss. simonne marie anne andree female 3.000000 1 2 SC/Paris 2123 41.5792 NaN C NaN 4445 1 3 devaney, miss. margaret delia female 19.000000 0 0 330958 7.8792 NaN Q NaN 4546 0 3 rogers, mr. william john male 29.699118 0 0 S.C./A.4. 23567 8.0500 NaN S NaN 4647 0 3 lennon, mr. denis male 29.699118 1 0 370371 15.5000 NaN Q NaN 4748 1 3 o'driscoll, miss. bridget female 29.699118 0 0 14311 7.7500 NaN Q NaN 4849 0 3 samaan, mr. youssef male 29.699118 2 0 2662 21.6792 NaN C NaN 4950 0 3 arnold-franchi, mrs. josef (josefine franchi) female 18.000000 1 0 349237 17.8000 NaN S NaN
data_namesplit
= pd
. DataFrame
( ( x
. split
( '.' ) for x
in data
[ 'Name' ] ) , index
= data
. index
, columns
= [ '名' , '姓' , 's' ] )
data_namesplit
名姓s 0braund, mr owen harris None 1cumings, mrs john bradley (florence briggs thayer) None 2heikkinen, miss laina None 3futrelle, mrs jacques heath (lily may peel) None 4allen, mr william henry None 5moran, mr james None 6mccarthy, mr timothy j None 7palsson, master gosta leonard None 8johnson, mrs oscar w (elisabeth vilhelmina berg) None 9nasser, mrs nicholas (adele achem) None 10sandstrom, miss marguerite rut None 11bonnell, miss elizabeth None 12saundercock, mr william henry None 13andersson, mr anders johan None 14vestrom, miss hulda amanda adolfina None 15hewlett, mrs (mary d kingcome) None 16rice, master eugene None 17williams, mr charles eugene None 18vander planke, mrs julius (emelia maria vandemoortele) None 19masselmani, mrs fatima None 20fynney, mr joseph j None 21beesley, mr lawrence None 22mcgowan, miss anna "annie" None 23sloper, mr william thompson None 24palsson, miss torborg danira None 25asplund, mrs carl oscar (selma augusta emilia johansson) None 26emir, mr farred chehab None 27fortune, mr charles alexander None 28o'dwyer, miss ellen "nellie" None 29todoroff, mr lalio None ...... ... ... 861giles, mr frederick edward None 862swift, mrs frederick joel (margaret welles barron) None 863sage, miss dorothy edith "dolly" None 864gill, mr john william None 865bystrom, mrs (karolina) None 866duran y more, miss asuncion None 867roebling, mr washington augustus ii None 868van melkebeke, mr philemon None 869johnson, master harold theodor None 870balkic, mr cerin None 871beckwith, mrs richard leonard (sallie monypeny) None 872carlsson, mr frans olof None 873vander cruyssen, mr victor None 874abelson, mrs samuel (hannah wizosky) None 875najib, miss adele kiamie "jane" None 876gustafsson, mr alfred ossian None 877petroff, mr nedelio None 878laleff, mr kristo None 879potter, mrs thomas jr (lily alexenia wilson) None 880shelley, mrs william (imanita parrish hall) None 881markun, mr johann None 882dahlberg, miss gerda ulrika None 883banfield, mr frederick james None 884sutehall, mr henry jr None 885rice, mrs william (margaret norton) None 886montvila, rev juozas None 887graham, miss margaret edith None 888johnston, miss catherine helen "carrie" None 889behr, mr karl howell None 890dooley, mr patrick None
891 rows × 3 columns
data
= pd
. concat
( [ data_namesplit
, data
] , axis
= 1 )
data
名姓sPassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarkedtip 0braund, mr owen harris None 1 0 3 braund, mr. owen harris male 22.000000 1 0 A/5 21171 7.2500 NaN S NaN 1cumings, mrs john bradley (florence briggs thayer) None 2 1 1 cumings, mrs. john bradley (florence briggs th... female 38.000000 1 0 PC 17599 71.2833 C85 C NaN 2heikkinen, miss laina None 3 1 3 heikkinen, miss. laina female 26.000000 0 0 STON/O2. 3101282 7.9250 NaN S NaN 3futrelle, mrs jacques heath (lily may peel) None 4 1 1 futrelle, mrs. jacques heath (lily may peel) female 35.000000 1 0 113803 53.1000 C123 S NaN 4allen, mr william henry None 5 0 3 allen, mr. william henry male 35.000000 0 0 373450 8.0500 NaN S NaN 5moran, mr james None 6 0 3 moran, mr. james male 29.699118 0 0 330877 8.4583 NaN Q NaN 6mccarthy, mr timothy j None 7 0 1 mccarthy, mr. timothy j male 54.000000 0 0 17463 51.8625 E46 S NaN 7palsson, master gosta leonard None 8 0 3 palsson, master. gosta leonard male 2.000000 3 1 349909 21.0750 NaN S 1.0 8johnson, mrs oscar w (elisabeth vilhelmina berg) None 9 1 3 johnson, mrs. oscar w (elisabeth vilhelmina berg) female 27.000000 0 2 347742 11.1333 NaN S NaN 9nasser, mrs nicholas (adele achem) None 10 1 2 nasser, mrs. nicholas (adele achem) female 14.000000 1 0 237736 30.0708 NaN C NaN 10sandstrom, miss marguerite rut None 11 1 3 sandstrom, miss. marguerite rut female 4.000000 1 1 PP 9549 16.7000 G6 S NaN 11bonnell, miss elizabeth None 12 1 1 bonnell, miss. elizabeth female 58.000000 0 0 113783 26.5500 C103 S NaN 12saundercock, mr william henry None 13 0 3 saundercock, mr. william henry male 20.000000 0 0 A/5. 2151 8.0500 NaN S NaN 13andersson, mr anders johan None 14 0 3 andersson, mr. anders johan male 39.000000 1 5 347082 31.2750 NaN S NaN 14vestrom, miss hulda amanda adolfina None 15 0 3 vestrom, miss. hulda amanda adolfina female 14.000000 0 0 350406 7.8542 NaN S NaN 15hewlett, mrs (mary d kingcome) None 16 1 2 hewlett, mrs. (mary d kingcome) female 55.000000 0 0 248706 16.0000 NaN S NaN 16rice, master eugene None 17 0 3 rice, master. eugene male 2.000000 4 1 382652 29.1250 NaN Q 1.0 17williams, mr charles eugene None 18 1 2 williams, mr. charles eugene male 29.699118 0 0 244373 13.0000 NaN S NaN 18vander planke, mrs julius (emelia maria vandemoortele) None 19 0 3 vander planke, mrs. julius (emelia maria vande... female 31.000000 1 0 345763 18.0000 NaN S NaN 19masselmani, mrs fatima None 20 1 3 masselmani, mrs. fatima female 29.699118 0 0 2649 7.2250 NaN C NaN 20fynney, mr joseph j None 21 0 2 fynney, mr. joseph j male 35.000000 0 0 239865 26.0000 NaN S NaN 21beesley, mr lawrence None 22 1 2 beesley, mr. lawrence male 34.000000 0 0 248698 13.0000 D56 S NaN 22mcgowan, miss anna "annie" None 23 1 3 mcgowan, miss. anna "annie" female 15.000000 0 0 330923 8.0292 NaN Q NaN 23sloper, mr william thompson None 24 1 1 sloper, mr. william thompson male 28.000000 0 0 113788 35.5000 A6 S NaN 24palsson, miss torborg danira None 25 0 3 palsson, miss. torborg danira female 8.000000 3 1 349909 21.0750 NaN S NaN 25asplund, mrs carl oscar (selma augusta emilia johansson) None 26 1 3 asplund, mrs. carl oscar (selma augusta emilia... female 38.000000 1 5 347077 31.3875 NaN S NaN 26emir, mr farred chehab None 27 0 3 emir, mr. farred chehab male 29.699118 0 0 2631 7.2250 NaN C NaN 27fortune, mr charles alexander None 28 0 1 fortune, mr. charles alexander male 19.000000 3 2 19950 263.0000 C23 C25 C27 S NaN 28o'dwyer, miss ellen "nellie" None 29 1 3 o'dwyer, miss. ellen "nellie" female 29.699118 0 0 330959 7.8792 NaN Q NaN 29todoroff, mr lalio None 30 0 3 todoroff, mr. lalio male 29.699118 0 0 349216 7.8958 NaN S NaN ...... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... 861giles, mr frederick edward None 862 0 2 giles, mr. frederick edward male 21.000000 1 0 28134 11.5000 NaN S NaN 862swift, mrs frederick joel (margaret welles barron) None 863 1 1 swift, mrs. frederick joel (margaret welles ba... female 48.000000 0 0 17466 25.9292 D17 S NaN 863sage, miss dorothy edith "dolly" None 864 0 3 sage, miss. dorothy edith "dolly" female 29.699118 8 2 CA. 2343 69.5500 NaN S NaN 864gill, mr john william None 865 0 2 gill, mr. john william male 24.000000 0 0 233866 13.0000 NaN S NaN 865bystrom, mrs (karolina) None 866 1 2 bystrom, mrs. (karolina) female 42.000000 0 0 236852 13.0000 NaN S NaN 866duran y more, miss asuncion None 867 1 2 duran y more, miss. asuncion female 27.000000 1 0 SC/PARIS 2149 13.8583 NaN C NaN 867roebling, mr washington augustus ii None 868 0 1 roebling, mr. washington augustus ii male 31.000000 0 0 PC 17590 50.4958 A24 S NaN 868van melkebeke, mr philemon None 869 0 3 van melkebeke, mr. philemon male 29.699118 0 0 345777 9.5000 NaN S NaN 869johnson, master harold theodor None 870 1 3 johnson, master. harold theodor male 4.000000 1 1 347742 11.1333 NaN S 1.0 870balkic, mr cerin None 871 0 3 balkic, mr. cerin male 26.000000 0 0 349248 7.8958 NaN S NaN 871beckwith, mrs richard leonard (sallie monypeny) None 872 1 1 beckwith, mrs. richard leonard (sallie monypeny) female 47.000000 1 1 11751 52.5542 D35 S NaN 872carlsson, mr frans olof None 873 0 1 carlsson, mr. frans olof male 33.000000 0 0 695 5.0000 B51 B53 B55 S NaN 873vander cruyssen, mr victor None 874 0 3 vander cruyssen, mr. victor male 47.000000 0 0 345765 9.0000 NaN S NaN 874abelson, mrs samuel (hannah wizosky) None 875 1 2 abelson, mrs. samuel (hannah wizosky) female 28.000000 1 0 P/PP 3381 24.0000 NaN C NaN 875najib, miss adele kiamie "jane" None 876 1 3 najib, miss. adele kiamie "jane" female 15.000000 0 0 2667 7.2250 NaN C NaN 876gustafsson, mr alfred ossian None 877 0 3 gustafsson, mr. alfred ossian male 20.000000 0 0 7534 9.8458 NaN S NaN 877petroff, mr nedelio None 878 0 3 petroff, mr. nedelio male 19.000000 0 0 349212 7.8958 NaN S NaN 878laleff, mr kristo None 879 0 3 laleff, mr. kristo male 29.699118 0 0 349217 7.8958 NaN S NaN 879potter, mrs thomas jr (lily alexenia wilson) None 880 1 1 potter, mrs. thomas jr (lily alexenia wilson) female 56.000000 0 1 11767 83.1583 C50 C NaN 880shelley, mrs william (imanita parrish hall) None 881 1 2 shelley, mrs. william (imanita parrish hall) female 25.000000 0 1 230433 26.0000 NaN S NaN 881markun, mr johann None 882 0 3 markun, mr. johann male 33.000000 0 0 349257 7.8958 NaN S NaN 882dahlberg, miss gerda ulrika None 883 0 3 dahlberg, miss. gerda ulrika female 22.000000 0 0 7552 10.5167 NaN S NaN 883banfield, mr frederick james None 884 0 2 banfield, mr. frederick james male 28.000000 0 0 C.A./SOTON 34068 10.5000 NaN S NaN 884sutehall, mr henry jr None 885 0 3 sutehall, mr. henry jr male 25.000000 0 0 SOTON/OQ 392076 7.0500 NaN S NaN 885rice, mrs william (margaret norton) None 886 0 3 rice, mrs. william (margaret norton) female 39.000000 0 5 382652 29.1250 NaN Q NaN 886montvila, rev juozas None 887 0 2 montvila, rev. juozas male 27.000000 0 0 211536 13.0000 NaN S NaN 887graham, miss margaret edith None 888 1 1 graham, miss. margaret edith female 19.000000 0 0 112053 30.0000 B42 S NaN 888johnston, miss catherine helen "carrie" None 889 0 3 johnston, miss. catherine helen "carrie" female 29.699118 1 2 W./C. 6607 23.4500 NaN S NaN 889behr, mr karl howell None 890 1 1 behr, mr. karl howell male 26.000000 0 0 111369 30.0000 C148 C NaN 890dooley, mr patrick None 891 0 3 dooley, mr. patrick male 32.000000 0 0 370376 7.7500 NaN Q NaN
891 rows × 16 columns
5.提取數(shù)據(jù)
data
. loc
[ 3 ]
名 futrelle, mrs
姓 jacques heath (lily may peel)
s None
PassengerId 4
Survived 1
Pclass 1
Name futrelle, mrs. jacques heath (lily may peel)
Sex female
Age 35
SibSp 1
Parch 0
Ticket 113803
Fare 53.1
Cabin C123
Embarked S
tip NaN
Name: 3, dtype: object
data
. iloc
[ 0 : 3 ]
名姓sPassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarkedtip 0braund, mr owen harris None 1 0 3 braund, mr. owen harris male 22.0 1 0 A/5 21171 7.2500 NaN S NaN 1cumings, mrs john bradley (florence briggs thayer) None 2 1 1 cumings, mrs. john bradley (florence briggs th... female 38.0 1 0 PC 17599 71.2833 C85 C NaN 2heikkinen, miss laina None 3 1 3 heikkinen, miss. laina female 26.0 0 0 STON/O2. 3101282 7.9250 NaN S NaN
data
. loc
[ data
[ 'Age' ] < 3 ]
名姓sPassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarkedtip 7palsson, master gosta leonard None 8 0 3 palsson, master. gosta leonard male 2.00 3 1 349909 21.0750 NaN S 1.0 16rice, master eugene None 17 0 3 rice, master. eugene male 2.00 4 1 382652 29.1250 NaN Q 1.0 78caldwell, master alden gates None 79 1 2 caldwell, master. alden gates male 0.83 0 2 248738 29.0000 NaN S 1.0 119andersson, miss ellis anna maria None 120 0 3 andersson, miss. ellis anna maria female 2.00 4 2 347082 31.2750 NaN S NaN 164panula, master eino viljami None 165 0 3 panula, master. eino viljami male 1.00 4 1 3101295 39.6875 NaN S 1.0 172johnson, miss eleanor ileen None 173 1 3 johnson, miss. eleanor ileen female 1.00 1 1 347742 11.1333 NaN S NaN 183becker, master richard f None 184 1 2 becker, master. richard f male 1.00 2 1 230136 39.0000 F4 S 1.0 205strom, miss telma matilda None 206 0 3 strom, miss. telma matilda female 2.00 0 1 347054 10.4625 G6 S NaN 297allison, miss helen loraine None 298 0 1 allison, miss. helen loraine female 2.00 1 2 113781 151.5500 C22 C26 S NaN 305allison, master hudson trevor None 306 1 1 allison, master. hudson trevor male 0.92 1 2 113781 151.5500 C22 C26 S 1.0 340navratil, master edmond roger None 341 1 2 navratil, master. edmond roger male 2.00 1 1 230080 26.0000 F2 S 1.0 381nakid, miss maria ("mary") None 382 1 3 nakid, miss. maria ("mary") female 1.00 0 2 2653 15.7417 NaN C NaN 386goodwin, master sidney leonard None 387 0 3 goodwin, master. sidney leonard male 1.00 5 2 CA 2144 46.9000 NaN S 1.0 469baclini, miss helene barbara None 470 1 3 baclini, miss. helene barbara female 0.75 2 1 2666 19.2583 NaN C NaN 479hirvonen, miss hildur e None 480 1 3 hirvonen, miss. hildur e female 2.00 0 1 3101298 12.2875 NaN S NaN 530quick, miss phyllis may None 531 1 2 quick, miss. phyllis may female 2.00 1 1 26360 26.0000 NaN S NaN 642skoog, miss margit elizabeth None 643 0 3 skoog, miss. margit elizabeth female 2.00 3 2 347088 27.9000 NaN S NaN 644baclini, miss eugenie None 645 1 3 baclini, miss. eugenie female 0.75 2 1 2666 19.2583 NaN C NaN 755hamalainen, master viljo None 756 1 2 hamalainen, master. viljo male 0.67 1 1 250649 14.5000 NaN S 1.0 788dean, master bertram vere None 789 1 3 dean, master. bertram vere male 1.00 1 2 C.A. 2315 20.5750 NaN S 1.0 803thomas, master assad alexander None 804 1 3 thomas, master. assad alexander male 0.42 0 1 2625 8.5167 NaN C 1.0 824panula, master urho abraham None 825 0 3 panula, master. urho abraham male 2.00 4 1 3101295 39.6875 NaN S 1.0 827mallet, master andre None 828 1 2 mallet, master. andre male 1.00 0 2 S.C./PARIS 2079 37.0042 NaN C 1.0 831richards, master george sibley None 832 1 2 richards, master. george sibley male 0.83 1 1 29106 18.7500 NaN S 1.0
data
. iloc
[ : 3 , : 4 ]
名姓sPassengerId 0braund, mr owen harris None 1 1cumings, mrs john bradley (florence briggs thayer) None 2 2heikkinen, miss laina None 3
data
. iloc
[ 1 : 3 , 3 : 4 ]
data
[ 'SibSp' ] . isin
( [ 1 , 2 ] )
0 True
1 True
2 False
3 True
4 False
5 False
6 False
7 False
8 False
9 True
10 True
11 False
12 False
13 True
14 False
15 False
16 False
17 False
18 True
19 False
20 False
21 False
22 False
23 False
24 False
25 True
26 False
27 False
28 False
29 False...
861 True
862 False
863 False
864 False
865 False
866 True
867 False
868 False
869 True
870 False
871 True
872 False
873 False
874 True
875 False
876 False
877 False
878 False
879 False
880 False
881 False
882 False
883 False
884 False
885 False
886 False
887 False
888 True
889 False
890 False
Name: SibSp, Length: 891, dtype: bool
data
. loc
[ data
[ 'SibSp' ] . isin
( [ 1 , 2 ] ) ]
名姓sPassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarkedtip 0braund, mr owen harris None 1 0 3 braund, mr. owen harris male 22.000000 1 0 A/5 21171 7.2500 NaN S NaN 1cumings, mrs john bradley (florence briggs thayer) None 2 1 1 cumings, mrs. john bradley (florence briggs th... female 38.000000 1 0 PC 17599 71.2833 C85 C NaN 3futrelle, mrs jacques heath (lily may peel) None 4 1 1 futrelle, mrs. jacques heath (lily may peel) female 35.000000 1 0 113803 53.1000 C123 S NaN 9nasser, mrs nicholas (adele achem) None 10 1 2 nasser, mrs. nicholas (adele achem) female 14.000000 1 0 237736 30.0708 NaN C NaN 10sandstrom, miss marguerite rut None 11 1 3 sandstrom, miss. marguerite rut female 4.000000 1 1 PP 9549 16.7000 G6 S NaN 13andersson, mr anders johan None 14 0 3 andersson, mr. anders johan male 39.000000 1 5 347082 31.2750 NaN S NaN 18vander planke, mrs julius (emelia maria vandemoortele) None 19 0 3 vander planke, mrs. julius (emelia maria vande... female 31.000000 1 0 345763 18.0000 NaN S NaN 25asplund, mrs carl oscar (selma augusta emilia johansson) None 26 1 3 asplund, mrs. carl oscar (selma augusta emilia... female 38.000000 1 5 347077 31.3875 NaN S NaN 31spencer, mrs william augustus (marie eugenie) None 32 1 1 spencer, mrs. william augustus (marie eugenie) female 29.699118 1 0 PC 17569 146.5208 B78 C NaN 34meyer, mr edgar joseph None 35 0 1 meyer, mr. edgar joseph male 28.000000 1 0 PC 17604 82.1708 NaN C NaN 35holverson, mr alexander oskar None 36 0 1 holverson, mr. alexander oskar male 42.000000 1 0 113789 52.0000 NaN S NaN 38vander planke, miss augusta maria None 39 0 3 vander planke, miss. augusta maria female 18.000000 2 0 345764 18.0000 NaN S NaN 39nicola-yarred, miss jamila None 40 1 3 nicola-yarred, miss. jamila female 14.000000 1 0 2651 11.2417 NaN C NaN 40ahlin, mrs johan (johanna persdotter larsson) None 41 0 3 ahlin, mrs. johan (johanna persdotter larsson) female 40.000000 1 0 7546 9.4750 NaN S NaN 41turpin, mrs william john robert (dorothy ann wonnacott) None 42 0 2 turpin, mrs. william john robert (dorothy ann ... female 27.000000 1 0 11668 21.0000 NaN S NaN 43laroche, miss simonne marie anne andree None 44 1 2 laroche, miss. simonne marie anne andree female 3.000000 1 2 SC/Paris 2123 41.5792 NaN C NaN 46lennon, mr denis None 47 0 3 lennon, mr. denis male 29.699118 1 0 370371 15.5000 NaN Q NaN 48samaan, mr youssef None 49 0 3 samaan, mr. youssef male 29.699118 2 0 2662 21.6792 NaN C NaN 49arnold-franchi, mrs josef (josefine franchi) None 50 0 3 arnold-franchi, mrs. josef (josefine franchi) female 18.000000 1 0 349237 17.8000 NaN S NaN 52harper, mrs henry sleeper (myna haxtun) None 53 1 1 harper, mrs. henry sleeper (myna haxtun) female 49.000000 1 0 PC 17572 76.7292 D33 C NaN 53faunthorpe, mrs lizzie (elizabeth anne wilkinson) None 54 1 2 faunthorpe, mrs. lizzie (elizabeth anne wilkin... female 29.000000 1 0 2926 26.0000 NaN S NaN 58west, miss constance mirium None 59 1 2 west, miss. constance mirium female 5.000000 1 2 C.A. 34651 27.7500 NaN S NaN 62harris, mr henry birkhardt None 63 0 1 harris, mr. henry birkhardt male 45.000000 1 0 36973 83.4750 C83 S NaN 65moubarek, master gerios None 66 1 3 moubarek, master. gerios male 29.699118 1 1 2661 15.2458 NaN C NaN 69kink, mr vincenz None 70 0 3 kink, mr. vincenz male 26.000000 2 0 315151 8.6625 NaN S NaN 73chronopoulos, mr apostolos None 74 0 3 chronopoulos, mr. apostolos male 26.000000 1 0 2680 14.4542 NaN C NaN 86ford, mr william neal None 87 0 3 ford, mr. william neal male 16.000000 1 3 W./C. 6608 34.3750 NaN S NaN 92chaffee, mr herbert fuller None 93 0 1 chaffee, mr. herbert fuller male 46.000000 1 0 W.E.P. 5734 61.1750 E31 S NaN 93dean, mr bertram frank None 94 0 3 dean, mr. bertram frank male 26.000000 1 2 C.A. 2315 20.5750 NaN S NaN 99kantor, mr sinai None 100 0 2 kantor, mr. sinai male 34.000000 1 0 244367 26.0000 NaN S NaN ...... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... 750wells, miss joan None 751 1 2 wells, miss. joan female 4.000000 1 1 29103 23.0000 NaN S NaN 754herman, mrs samuel (jane laver) None 755 1 2 herman, mrs. samuel (jane laver) female 48.000000 1 2 220845 65.0000 NaN S NaN 755hamalainen, master viljo None 756 1 2 hamalainen, master. viljo male 0.670000 1 1 250649 14.5000 NaN S 1.0 763carter, mrs william ernest (lucile polk) None 764 1 1 carter, mrs. william ernest (lucile polk) female 36.000000 1 2 113760 120.0000 B96 B98 S NaN 765hogeboom, mrs john c (anna andrews) None 766 1 1 hogeboom, mrs. john c (anna andrews) female 51.000000 1 0 13502 77.9583 D11 S NaN 768moran, mr daniel j None 769 0 3 moran, mr. daniel j male 29.699118 1 0 371110 24.1500 NaN Q NaN 774hocking, mrs elizabeth (eliza needs) None 775 1 2 hocking, mrs. elizabeth (eliza needs) female 54.000000 1 3 29105 23.0000 NaN S NaN 781dick, mrs albert adrian (vera gillespie) None 782 1 1 dick, mrs. albert adrian (vera gillespie) female 17.000000 1 0 17474 57.0000 B20 S NaN 783johnston, mr andrew g None 784 0 3 johnston, mr. andrew g male 29.699118 1 2 W./C. 6607 23.4500 NaN S NaN 788dean, master bertram vere None 789 1 3 dean, master. bertram vere male 1.000000 1 2 C.A. 2315 20.5750 NaN S 1.0 799van impe, mrs jean baptiste (rosalie paula govaert) None 800 0 3 van impe, mrs. jean baptiste (rosalie paula go... female 30.000000 1 1 345773 24.1500 NaN S NaN 801collyer, mrs harvey (charlotte annie tate) None 802 1 2 collyer, mrs. harvey (charlotte annie tate) female 31.000000 1 1 C.A. 31921 26.2500 NaN S NaN 802carter, master william thornton ii None 803 1 1 carter, master. william thornton ii male 11.000000 1 2 113760 120.0000 B96 B98 S NaN 809chambers, mrs norman campbell (bertha griggs) None 810 1 1 chambers, mrs. norman campbell (bertha griggs) female 33.000000 1 0 113806 53.1000 E8 S NaN 817mallet, mr albert None 818 0 2 mallet, mr. albert male 31.000000 1 1 S.C./PARIS 2079 37.0042 NaN C NaN 820hays, mrs charles melville (clara jennings gregg) None 821 1 1 hays, mrs. charles melville (clara jennings gr... female 52.000000 1 1 12749 93.5000 B69 S NaN 830yasbeck, mrs antoni (selini alexander) None 831 1 3 yasbeck, mrs. antoni (selini alexander) female 15.000000 1 0 2659 14.4542 NaN C NaN 831richards, master george sibley None 832 1 2 richards, master. george sibley male 0.830000 1 1 29106 18.7500 NaN S 1.0 835compton, miss sara rebecca None 836 1 1 compton, miss. sara rebecca female 39.000000 1 1 PC 17756 83.1583 E49 C NaN 849goldenberg, mrs samuel l (edwiga grabowska) None 850 1 1 goldenberg, mrs. samuel l (edwiga grabowska) female 29.699118 1 0 17453 89.1042 C92 C NaN 852boulos, miss nourelain None 853 0 3 boulos, miss. nourelain female 9.000000 1 1 2678 15.2458 NaN C NaN 854carter, mrs ernest courtenay (lilian hughes) None 855 0 2 carter, mrs. ernest courtenay (lilian hughes) female 44.000000 1 0 244252 26.0000 NaN S NaN 856wick, mrs george dennick (mary hitchcock) None 857 1 1 wick, mrs. george dennick (mary hitchcock) female 45.000000 1 1 36928 164.8667 NaN S NaN 860hansen, mr claus peter None 861 0 3 hansen, mr. claus peter male 41.000000 2 0 350026 14.1083 NaN S NaN 861giles, mr frederick edward None 862 0 2 giles, mr. frederick edward male 21.000000 1 0 28134 11.5000 NaN S NaN 866duran y more, miss asuncion None 867 1 2 duran y more, miss. asuncion female 27.000000 1 0 SC/PARIS 2149 13.8583 NaN C NaN 869johnson, master harold theodor None 870 1 3 johnson, master. harold theodor male 4.000000 1 1 347742 11.1333 NaN S 1.0 871beckwith, mrs richard leonard (sallie monypeny) None 872 1 1 beckwith, mrs. richard leonard (sallie monypeny) female 47.000000 1 1 11751 52.5542 D35 S NaN 874abelson, mrs samuel (hannah wizosky) None 875 1 2 abelson, mrs. samuel (hannah wizosky) female 28.000000 1 0 P/PP 3381 24.0000 NaN C NaN 888johnston, miss catherine helen "carrie" None 889 0 3 johnston, miss. catherine helen "carrie" female 29.699118 1 2 W./C. 6607 23.4500 NaN S NaN
237 rows × 16 columns
6.篩選數(shù)據(jù)
data
. loc
[ ( data
[ 'Age' ] < 5 ) & ( data
[ 'Sex' ] == 'male' ) ]
名姓sPassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarkedtip 7palsson, master gosta leonard None 8 0 3 palsson, master. gosta leonard male 2.00 3 1 349909 21.0750 NaN S 1.0 16rice, master eugene None 17 0 3 rice, master. eugene male 2.00 4 1 382652 29.1250 NaN Q 1.0 63skoog, master harald None 64 0 3 skoog, master. harald male 4.00 3 2 347088 27.9000 NaN S 1.0 78caldwell, master alden gates None 79 1 2 caldwell, master. alden gates male 0.83 0 2 248738 29.0000 NaN S 1.0 164panula, master eino viljami None 165 0 3 panula, master. eino viljami male 1.00 4 1 3101295 39.6875 NaN S 1.0 171rice, master arthur None 172 0 3 rice, master. arthur male 4.00 4 1 382652 29.1250 NaN Q 1.0 183becker, master richard f None 184 1 2 becker, master. richard f male 1.00 2 1 230136 39.0000 F4 S 1.0 193navratil, master michel m None 194 1 2 navratil, master. michel m male 3.00 1 1 230080 26.0000 F2 S 1.0 261asplund, master edvin rojj felix None 262 1 3 asplund, master. edvin rojj felix male 3.00 4 2 347077 31.3875 NaN S 1.0 305allison, master hudson trevor None 306 1 1 allison, master. hudson trevor male 0.92 1 2 113781 151.5500 C22 C26 S 1.0 340navratil, master edmond roger None 341 1 2 navratil, master. edmond roger male 2.00 1 1 230080 26.0000 F2 S 1.0 348coutts, master william loch "william" None 349 1 3 coutts, master. william loch "william" male 3.00 1 1 C.A. 37671 15.9000 NaN S 1.0 386goodwin, master sidney leonard None 387 0 3 goodwin, master. sidney leonard male 1.00 5 2 CA 2144 46.9000 NaN S 1.0 407richards, master william rowe None 408 1 2 richards, master. william rowe male 3.00 1 1 29106 18.7500 NaN S 1.0 445dodge, master washington None 446 1 1 dodge, master. washington male 4.00 0 2 33638 81.8583 A34 S 1.0 755hamalainen, master viljo None 756 1 2 hamalainen, master. viljo male 0.67 1 1 250649 14.5000 NaN S 1.0 788dean, master bertram vere None 789 1 3 dean, master. bertram vere male 1.00 1 2 C.A. 2315 20.5750 NaN S 1.0 803thomas, master assad alexander None 804 1 3 thomas, master. assad alexander male 0.42 0 1 2625 8.5167 NaN C 1.0 824panula, master urho abraham None 825 0 3 panula, master. urho abraham male 2.00 4 1 3101295 39.6875 NaN S 1.0 827mallet, master andre None 828 1 2 mallet, master. andre male 1.00 0 2 S.C./PARIS 2079 37.0042 NaN C 1.0 831richards, master george sibley None 832 1 2 richards, master. george sibley male 0.83 1 1 29106 18.7500 NaN S 1.0 850andersson, master sigvard harald elias None 851 0 3 andersson, master. sigvard harald elias male 4.00 4 2 347082 31.2750 NaN S 1.0 869johnson, master harold theodor None 870 1 3 johnson, master. harold theodor male 4.00 1 1 347742 11.1333 NaN S 1.0
data
. loc
[ ( data
[ 'Age' ] == 5 ) | ( data
[ 'Age' ] == 2 ) ]
名姓sPassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarkedtip 7palsson, master gosta leonard None 8 0 3 palsson, master. gosta leonard male 2.0 3 1 349909 21.0750 NaN S 1.0 16rice, master eugene None 17 0 3 rice, master. eugene male 2.0 4 1 382652 29.1250 NaN Q 1.0 58west, miss constance mirium None 59 1 2 west, miss. constance mirium female 5.0 1 2 C.A. 34651 27.7500 NaN S NaN 119andersson, miss ellis anna maria None 120 0 3 andersson, miss. ellis anna maria female 2.0 4 2 347082 31.2750 NaN S NaN 205strom, miss telma matilda None 206 0 3 strom, miss. telma matilda female 2.0 0 1 347054 10.4625 G6 S NaN 233asplund, miss lillian gertrud None 234 1 3 asplund, miss. lillian gertrud female 5.0 4 2 347077 31.3875 NaN S NaN 297allison, miss helen loraine None 298 0 1 allison, miss. helen loraine female 2.0 1 2 113781 151.5500 C22 C26 S NaN 340navratil, master edmond roger None 341 1 2 navratil, master. edmond roger male 2.0 1 1 230080 26.0000 F2 S 1.0 448baclini, miss marie catherine None 449 1 3 baclini, miss. marie catherine female 5.0 2 1 2666 19.2583 NaN C NaN 479hirvonen, miss hildur e None 480 1 3 hirvonen, miss. hildur e female 2.0 0 1 3101298 12.2875 NaN S NaN 530quick, miss phyllis may None 531 1 2 quick, miss. phyllis may female 2.0 1 1 26360 26.0000 NaN S NaN 642skoog, miss margit elizabeth None 643 0 3 skoog, miss. margit elizabeth female 2.0 3 2 347088 27.9000 NaN S NaN 777emanuel, miss virginia ethel None 778 1 3 emanuel, miss. virginia ethel female 5.0 0 0 364516 12.4750 NaN S NaN 824panula, master urho abraham None 825 0 3 panula, master. urho abraham male 2.0 4 1 3101295 39.6875 NaN S 1.0
data
. loc
[ ( data
[ 'Age' ] == 5 ) | ( data
[ 'Age' ] == 2 ) ] . Parch
. count
( )
14
data
. query
( 'Age==[5,2]' )
名姓sPassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarkedtip 7palsson, master gosta leonard None 8 0 3 palsson, master. gosta leonard male 2.0 3 1 349909 21.0750 NaN S 1.0 16rice, master eugene None 17 0 3 rice, master. eugene male 2.0 4 1 382652 29.1250 NaN Q 1.0 58west, miss constance mirium None 59 1 2 west, miss. constance mirium female 5.0 1 2 C.A. 34651 27.7500 NaN S NaN 119andersson, miss ellis anna maria None 120 0 3 andersson, miss. ellis anna maria female 2.0 4 2 347082 31.2750 NaN S NaN 205strom, miss telma matilda None 206 0 3 strom, miss. telma matilda female 2.0 0 1 347054 10.4625 G6 S NaN 233asplund, miss lillian gertrud None 234 1 3 asplund, miss. lillian gertrud female 5.0 4 2 347077 31.3875 NaN S NaN 297allison, miss helen loraine None 298 0 1 allison, miss. helen loraine female 2.0 1 2 113781 151.5500 C22 C26 S NaN 340navratil, master edmond roger None 341 1 2 navratil, master. edmond roger male 2.0 1 1 230080 26.0000 F2 S 1.0 448baclini, miss marie catherine None 449 1 3 baclini, miss. marie catherine female 5.0 2 1 2666 19.2583 NaN C NaN 479hirvonen, miss hildur e None 480 1 3 hirvonen, miss. hildur e female 2.0 0 1 3101298 12.2875 NaN S NaN 530quick, miss phyllis may None 531 1 2 quick, miss. phyllis may female 2.0 1 1 26360 26.0000 NaN S NaN 642skoog, miss margit elizabeth None 643 0 3 skoog, miss. margit elizabeth female 2.0 3 2 347088 27.9000 NaN S NaN 777emanuel, miss virginia ethel None 778 1 3 emanuel, miss. virginia ethel female 5.0 0 0 364516 12.4750 NaN S NaN 824panula, master urho abraham None 825 0 3 panula, master. urho abraham male 2.0 4 1 3101295 39.6875 NaN S 1.0
data
. query
( 'Age==[5,2]' ) . SibSp
. sum ( )
28
7.匯總數(shù)據(jù)
data
. groupby
( 'Pclass' ) . count
( )
名姓sPassengerIdSurvivedNameSexAgeSibSpParchTicketFareCabinEmbarkedtip Pclass 1216 216 1 216 216 216 216 216 216 216 216 216 176 214 2 2184 184 0 184 184 184 184 184 184 184 184 184 16 184 9 3491 491 0 491 491 491 491 491 491 491 491 491 12 491 22
data
. groupby
( 'Pclass' ) [ 'Sex' ] . count
( )
Pclass
1 216
2 184
3 491
Name: Sex, dtype: int64
data
. groupby
( [ 'Pclass' , 'Sex' ] ) [ 'PassengerId' ] . count
( )
Pclass Sex
1 female 94male 122
2 female 76male 108
3 female 144male 347
Name: PassengerId, dtype: int64
data
. groupby
( [ 'Pclass' , 'Sex' ] ) [ 'Age' ] . agg
( [ len , np
. sum , np
. mean
] )
lensummean PclassSex 1female94.0 3209.292059 34.141405 male122.0 4793.101471 39.287717 2female76.0 2184.898235 28.748661 male108.0 3310.622059 30.653908 3female144.0 3465.862941 24.068493 male347.0 9498.137059 27.372153
8.統(tǒng)計(jì)數(shù)據(jù)
data
. sample
( n
= 10 )
名姓sPassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarkedtip 70jenkin, mr stephen curnow None 71 0 2 jenkin, mr. stephen curnow male 32.000000 0 0 C.A. 33111 10.5000 NaN S NaN 92chaffee, mr herbert fuller None 93 0 1 chaffee, mr. herbert fuller male 46.000000 1 0 W.E.P. 5734 61.1750 E31 S NaN 700astor, mrs john jacob (madeleine talmadge force) None 701 1 1 astor, mrs. john jacob (madeleine talmadge force) female 18.000000 1 0 PC 17757 227.5250 C62 C64 C NaN 626kirkland, rev charles leonard None 627 0 2 kirkland, rev. charles leonard male 57.000000 0 0 219533 12.3500 NaN Q NaN 722gillespie, mr william henry None 723 0 2 gillespie, mr. william henry male 34.000000 0 0 12233 13.0000 NaN S NaN 371wiklund, mr jakob alfred None 372 0 3 wiklund, mr. jakob alfred male 18.000000 1 0 3101267 6.4958 NaN S NaN 248beckwith, mr richard leonard None 249 1 1 beckwith, mr. richard leonard male 37.000000 1 1 11751 52.5542 D35 S NaN 795otter, mr richard None 796 0 2 otter, mr. richard male 39.000000 0 0 28213 13.0000 NaN S NaN 567palsson, mrs nils (alma cornelia berglund) None 568 0 3 palsson, mrs. nils (alma cornelia berglund) female 29.000000 0 4 349909 21.0750 NaN S NaN 837sirota, mr maurice None 838 0 3 sirota, mr. maurice male 29.699118 0 0 392092 8.0500 NaN S NaN
data
. sample
( n
= 10 , replace
= False )
名姓sPassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarkedtip 345brown, miss amelia "mildred" None 346 1 2 brown, miss. amelia "mildred" female 24.000000 0 0 248733 13.0000 F33 S NaN 304williams, mr howard hugh "harry" None 305 0 3 williams, mr. howard hugh "harry" male 29.699118 0 0 A/5 2466 8.0500 NaN S NaN 697mullens, miss katherine "katie" None 698 1 3 mullens, miss. katherine "katie" female 29.699118 0 0 35852 7.7333 NaN Q NaN 493artagaveytia, mr ramon None 494 0 1 artagaveytia, mr. ramon male 71.000000 0 0 PC 17609 49.5042 NaN C NaN 226mellors, mr william john None 227 1 2 mellors, mr. william john male 19.000000 0 0 SW/PP 751 10.5000 NaN S NaN 506quick, mrs frederick charles (jane richards) None 507 1 2 quick, mrs. frederick charles (jane richards) female 33.000000 0 2 26360 26.0000 NaN S NaN 806andrews, mr thomas jr None 807 0 1 andrews, mr. thomas jr male 39.000000 0 0 112050 0.0000 A36 S NaN 335denkoff, mr mitto None 336 0 3 denkoff, mr. mitto male 29.699118 0 0 349225 7.8958 NaN S NaN 560morrow, mr thomas rowan None 561 0 3 morrow, mr. thomas rowan male 29.699118 0 0 372622 7.7500 NaN Q NaN 492molson, mr harry markland None 493 0 1 molson, mr. harry markland male 55.000000 0 0 113787 30.5000 C30 S NaN
data
. sample
( n
= 10 , replace
= True )
名姓sPassengerIdSurvivedPclassNameSexAgeSibSpParchTicketFareCabinEmbarkedtip 703gallagher, mr martin None 704 0 3 gallagher, mr. martin male 25.000000 0 0 36864 7.7417 NaN Q NaN 398pain, dr alfred None 399 0 2 pain, dr. alfred male 23.000000 0 0 244278 10.5000 NaN S NaN 721jensen, mr svend lauritz None 722 0 3 jensen, mr. svend lauritz male 17.000000 1 0 350048 7.0542 NaN S NaN 708cleaver, miss alice None 709 1 1 cleaver, miss. alice female 22.000000 0 0 113781 151.5500 NaN S NaN 805johansson, mr karl johan None 806 0 3 johansson, mr. karl johan male 31.000000 0 0 347063 7.7750 NaN S NaN 262taussig, mr emil None 263 0 1 taussig, mr. emil male 52.000000 1 1 110413 79.6500 E67 S NaN 52harper, mrs henry sleeper (myna haxtun) None 53 1 1 harper, mrs. henry sleeper (myna haxtun) female 49.000000 1 0 PC 17572 76.7292 D33 C NaN 659newell, mr arthur webster None 660 0 1 newell, mr. arthur webster male 58.000000 0 2 35273 113.2750 D48 C NaN 692lam, mr ali None 693 1 3 lam, mr. ali male 29.699118 0 0 1601 56.4958 NaN S NaN 597johnson, mr alfred None 598 0 3 johnson, mr. alfred male 49.000000 0 0 LINE 0.0000 NaN S NaN
data
. describe
( ) . round ( 2 ) . T
countmeanstdmin25%50%75%max PassengerId891.0 446.00 257.35 1.00 223.50 446.00 668.5 891.00 Survived891.0 0.38 0.49 0.00 0.00 0.00 1.0 1.00 Pclass891.0 2.31 0.84 1.00 2.00 3.00 3.0 3.00 Age891.0 29.70 13.00 0.42 22.00 29.70 35.0 80.00 SibSp891.0 0.52 1.10 0.00 0.00 0.00 1.0 8.00 Parch891.0 0.38 0.81 0.00 0.00 0.00 0.0 6.00 Fare891.0 32.20 49.69 0.00 7.91 14.45 31.0 512.33 tip33.0 1.00 0.00 1.00 1.00 1.00 1.0 1.00
data
[ 'Age' ] . std
( )
13.002015226002884
data
[ 'Age' ] . cov
( data
[ 'SibSp' ] )
-3.3353450099140782
data
. cov
( )
PassengerIdSurvivedPclassAgeSibSpParchFaretip PassengerId66231.000000 -0.626966 -7.561798 111.113042 -16.325843 -0.342697 161.883369 0.0 Survived-0.626966 0.236772 -0.137703 -0.441656 -0.018954 0.032017 6.221787 0.0 Pclass-7.561798 -0.137703 0.699015 -3.601855 0.076599 0.012429 -22.830196 0.0 Age111.113042 -0.441656 -3.601855 169.052400 -3.335345 -1.877987 59.162200 0.0 SibSp-16.325843 -0.018954 0.076599 -3.335345 1.216043 0.368739 8.748734 0.0 Parch-0.342697 0.032017 0.012429 -1.877987 0.368739 0.649728 8.661052 0.0 Fare161.883369 6.221787 -22.830196 59.162200 8.748734 8.661052 2469.436846 0.0 tip0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.0
data
[ 'Age' ] . corr
( data
[ 'Survived' ] )
-0.06980851528714313
data
. corr
( )
PassengerIdSurvivedPclassAgeSibSpParchFaretip PassengerId1.000000 -0.005007 -0.035144 0.033207 -0.057527 -0.001652 0.012658 NaN Survived-0.005007 1.000000 -0.338481 -0.069809 -0.035322 0.081629 0.257307 NaN Pclass-0.035144 -0.338481 1.000000 -0.331339 0.083081 0.018443 -0.549500 NaN Age0.033207 -0.069809 -0.331339 1.000000 -0.232625 -0.179191 0.091566 NaN SibSp-0.057527 -0.035322 0.083081 -0.232625 1.000000 0.414838 0.159651 NaN Parch-0.001652 0.081629 0.018443 -0.179191 0.414838 1.000000 0.216225 NaN Fare0.012658 0.257307 -0.549500 0.091566 0.159651 0.216225 1.000000 NaN tipNaN NaN NaN NaN NaN NaN NaN NaN
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